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Titlebook: Knowledge Engineering and Semantic Web; 7th International Co Axel-Cyrille Ngonga Ngomo,Petr K?emen Conference proceedings 2016 Springer Int

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發(fā)表于 2025-3-28 15:08:49 | 只看該作者
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發(fā)表于 2025-3-28 21:51:43 | 只看該作者
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發(fā)表于 2025-3-28 23:55:58 | 只看該作者
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發(fā)表于 2025-3-29 06:51:54 | 只看該作者
Ontological Anti-patterns in Aviation Safety Event Modelsng among a community. To improve productivity of model designers as well as to improve quality of resulting models, proper theoretical foundations and tool support is necessary. This paper discusses some types of conceptual modeling anti-patterns that lead to error- prone modeling decisions, and des
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發(fā)表于 2025-3-29 07:49:09 | 只看該作者
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發(fā)表于 2025-3-29 13:36:57 | 只看該作者
Ontology for Performance Control in Service-Oriented System with Composite Servicesinteracting composite services, each consisting of one or several applications. To process jobs that income to such a system collaboration between several applications is needed and processing time will be influenced by choice of a set of applications, resources that they have and time consumed to e
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發(fā)表于 2025-3-29 17:04:08 | 只看該作者
Privacy in Online Social Networks: An Ontological Model for Self-Presentationined by physical spaces, the OSNs offer to web users new interesting means to communicate, interact, and socialize. The OSNs exhibit many of the characteristics of human societies in terms of forming relationships and how those relationships are used for personal information disclosure. However, cur
48#
發(fā)表于 2025-3-29 20:59:32 | 只看該作者
Design of an Ontologies for the Exchange of Software Engineering Data in the Aerospace Industry context, the need of sharing different types of data and information is a key factor to assure the successful execution of the projects. In the case of European projects, the ECSS standards provide a normative framework that specifies, among other requirements, the different document types, informa
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發(fā)表于 2025-3-30 03:50:37 | 只看該作者
Family Matters: Company Relations Extraction from Wikipediasources for supervised methods – manual annotations made from scratch and relations from infoboxes with subsequent sentence matching, as well as different feature sets and learning methods – SVM, CRF, and UIMA Ruta. Results show that the automatically obtained training data delivers worse results th
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發(fā)表于 2025-3-30 05:11:01 | 只看該作者
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